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Up-skill your team by training them on Machine Learning using R
If you want to make a career in predictive analysis or work with big data then you have to understand machine learning and R is the most popular platform for applied machine learning. This open source programming language is among the most widely used languages for statistics and data mining, gives quick results and is supported by a worldwide community of users and developers.
Zeolearn academy’s comprehensive Machine Learning using R course is a must for those who see themselves as future analysts. The aim of this coaching is to familiarise you with statistical models for supervised and unsupervised learning using R programming language and how the R language environment supports predictive modelling with machine learning. This Machine Learning using R training at our institute dives into the basics of R and Machine Learning. Enrol now for a complete hands-on familiarity with Machine Learning in R and get the Machine learning certification using R that increases your chances of getting hired.
Here’s what you will learn!
Machine learning is often used to make informed preventive or proactive decisions with its powerful predictive capabilities. With the help of algorithms, machine learning helps find insights and patterns in data. This automatic application of complex mathematical calculations to big data is revolutionising the world. R is a programming language that is the most popular platform for applied machine learning and is widely used to statistically explore data sets. Studying R in machine learning will help you become a proficient data analyst.
After completing our course, you will know:
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use R programming language and perform statistical data analysis with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
We offer classes in classroom and online format. While classroom sessions are held in specific venues in your city, for online sessions all you need is a Windows computer with good internet connection and you can access the class anywhere, at anytime. A headset with microphone is also recommended.
You may also attend these classes from your smart phone or tablet.
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.
Statisticians, Data Analysts, Business Analysts and professionals keen to learn more about the science and practice of Machine Learning using R, will benefit from this course.
One must have:
Machine Learning using R
R is a programming language used in Big Data and Predictive Data Analysis. R is a popular term in applied machine learning. Zeolearn a licensed, certified courses providing academy, dives into the basics of R and machine learning in the Machine Learning using R course in Chicago. The students who enrol for the Machine learning using R course in Chicago are expected to have known Python or Java basics with a mathematics background. This is a classroom workshop and virtual training chosen as per the convenience of the student. It happens for 40 hours of intensive training by tutors with hands-on experience in R throughout the week. The Machine learning using R training in Chicago ended with a final project on statistical data analysis using R programming and provided a course completion certificate after project review by industry experts. The students can pick the missed sessions from recordings in the dashboard or from the next live batch session. A minimum of 10 to 12 hours is spent on live classes and assignments.
The curriculum for machine learning using R training in Chicago has fourteen modules. Topics covered are Machine learning introduction, tools, correlation, regression, the loss function, regularisation, bias-variance tradeoff, cross-validation, model assessment and selection, process overview, clustering and algorithms in R, opening the black box, Bayesian approaches, naive Bayes classification, decision trees and guidelines. The end project done by the candidates using R programming and all concepts learnt during the machine learning classes using R in Chicago are checked and reviewed by experts in the field.
Advantages of the certification and academy
Studying R with ZeoLearn helps to become a proficient data analysts. The machine learning certification using R in Chicago is an excellent accreditation for its students in their career. Students can get in touch with the academy tutors even after course completion to gain knowledge and clarity whenever needed. Data analysts, statisticians and business analysts will benefit from this course from ZeoLearn.